An Introduction to Generalized Linear Models (4th Edition)

By Annette J. Dobson & Adrian G. Barnett

An Introduction to Generalized Linear Models, Fourth Edition is a clear and practical guide to generalized linear models (GLMs) for students and applied researchers. Published by CRC Press / Taylor & Francis, this widely used text explains the GLM framework and how it extends linear regression to handle non-normal outcomes such as binary, count, and rate data.

With an emphasis on interpretation and real data applications, the book covers logistic regression, Poisson regression, model fitting, inference, diagnostics, and good modeling practice—making it an ideal resource for statistics, biostatistics, epidemiology, and social science programs.

What This Book Does

This book teaches the GLM framework and how to build, fit, interpret, and validate models for common outcome types, including binary, count, and rate responses.

Key Features of the 4th Edition

• Step-by-step introduction to the GLM framework and link functions
• Strong coverage of logistic and Poisson regression
• Guidance on estimation, inference, and interpretation
• Model checking, diagnostics, and goodness-of-fit
• Real-data examples for applied learning
• Suitable for statistics, biostatistics, and applied research courses

Who Should Use This Book?

• Statistics and biostatistics students
• Epidemiology and public health researchers
• Data analysts in social and behavioral sciences
• Graduate students using regression for applied research
• Practitioners needing interpretable models for non-normal data

Why It’s Essential

• Classic introductory text for generalized linear modeling
• Balances theory with applied interpretation
• Helps build strong regression modeling judgment
• Widely adopted across statistics and health sciences programs

The practical, widely trusted introduction to generalized linear models.
Order today from BooksGoat and strengthen your applied regression skills.

Product Details

• ISBN-13: 9781138741515
• Edition: 4th
• Authors: Annette J. Dobson; Adrian G. Barnett
• Publisher: CRC Press / Taylor & Francis
• Format: Paperback
• Condition: New
• Availability: In Stock
• Shipping: Free Shipping

Table of Contents (Highlights)

• Introduction to Generalized Linear Models
• Exponential Family Distributions
• Link Functions and Model Specification
• Logistic Regression for Binary Data
• Poisson Regression for Counts and Rates
• Estimation, Inference, and Model Selection
• Diagnostics and Goodness-of-Fit
• Extensions and Practical Modeling Guidance

FAQs

• Is this book suitable for beginners? Yes, it is written as an accessible introduction to GLMs for students and applied researchers.
• Does it cover logistic and Poisson regression? Yes, it includes strong coverage of logistic regression and Poisson regression.
• Is it useful for biostatistics and epidemiology? Yes, it is widely used in public health, epidemiology, and biostatistics programs.